Data Science and AI Quest

This technical blog is my own collection of notes , articles , implementations and interpretation of referred topics in coding, programming, data analytics , data science , data warehousing , Cloud Applications and Artificial Intelligence . Feel free to explore my blog and articles for reference and downloads . Do subscribe , like , share and comment ---- Vivek Dash

Showing posts with label Inferential analysis. Show all posts

Showing posts with label Inferential analysis. Show all posts

Wednesday, July 14, 2021

Infographic Note on Z-Score in Statistics and Machine Learning with it's usage scenario , calculation , implication and applications

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Labels: ai, algorithms, application, artificial intelligence, calculation.tutorial, data analytics, data exploration, data science, Inferential analysis, machine learning, standardisation, statistics, z-score

Monday, July 12, 2021

Infographic Note on why Outliers are not deleted at the time of Data Processing or Data Analysis in Statistics

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Labels: ai, algorithms, artificial intelligence, data analysis, data analytics, data exploration, data science, Inferential analysis, machine learning, outlier deletion

Infographic Note with questions and answers on the concepts of MinMaxScaler function , Standard Scaler Function , Normalisation , Standardisation in Statistical Analysis

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Labels: ai, algorithms, artificial intelligence, data analytics, data exploration, data science, Inferential analysis, machine learning, minmaxscaler, normalisation, standardisation, standardscaler

Infographic Note on Correlation Analysis using corr() function over a Pandas dataframe in Python

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Labels: ai, algorithms, artificial intelligence, correlation, data analytics, data exploration, data science, dataframe, Inferential analysis, interpretation, machine learning, numpy, pandas, python, SciPy, summary, testing

Infographic Note on Correlation Analysis of numerical attributes of a Pandas Dataframe in Python

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Labels: ai, algorithms, artificial intelligence, correlation, data analytics, data exploration, data science, dataframe, heatmap, Inferential analysis, machine learning, numpy, pandas, python, SciPy, summary, testing

Infographic Note on Python Code Analysis of a Sample Outliers Detection function over a numerical attribute in a pandas dataframe

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Labels: ai, algorithms, artificial intelligence, data analytics, data exploration, data science, function, Inferential analysis, machine learning, numpy, outliers, pandas, python, SciPy, summary, testing

Infographic Note on Outliers Detection , finding Inter-Quartile ranges and Interpreting Box-Plot diagrams over Pandas Dataframe in Python

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Labels: ai, algorithms, artificial intelligence, boxplot, data analytics, data exploration, data science, Inferential analysis, inter-quartile range, machine learning, numpy, outliers, pandas, python, SciPy, summary

Infographic Note on steps to formulate and perform a Hypothesis Test using Numpy , Pandas and Scipy Libraries of Python

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Labels: ai, algorithms, artificial intelligence, data analytics, data exploration, data science, hypothesis, Inferential analysis, machine learning, numpy, pandas, python, SciPy, summary, t-test, testing

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One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note

Data Pre-processing in Machine Learning - All the constituent steps which are part of a Machine Learning Project ( infographic notes )
One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note
Twitter Sentiment Analysis Conceptual Infographic Notes | Getting Started with Sentiment Analysis based NLP Project with its main objectives , considerations , challenges , Approach and Steps

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